At a Glance
- Tasks: Lead a talented Data Engineering team to create reliable data pipelines and solutions.
- Company: Join a forward-thinking company committed to diversity and innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and best practices.
- Why this job: Make a real impact by delivering high-quality data solutions that drive business success.
- Qualifications: 5+ years in data engineering management with strong technical and people skills.
The predicted salary is between 70000 - 90000 € per year.
We are looking for a Data Engineering Manager who will be responsible for leading and developing our small but talented Data Engineering team to meet ever-increasing demands for reliable, robust data pipelines to ingest data into our Data Platform and supply consistent, trustworthy datasets to other teams across the business. The role will lead and develop a team of data engineers, partner closely with stakeholders across the organisation, and ensure best practices in data quality, governance, and platform reliability. This is a hybrid role, with an expectation to be in the Bristol office 2 days per week. Occasional travel may be required for client or internal meetings, both in the UK and abroad.
Responsibilities
- Lead and develop the Data Engineering team, ensuring timely, high‐quality delivery aligned to business and client needs.
- Own the planning and execution of data solutions and products, balancing priorities, resources, timelines and budgets.
- Ensure the delivery of reliable, scalable and secure data infrastructure that supports both internal and client‐facing use cases.
- Partner closely with stakeholders across the business to translate requirements into actionable data solutions and manage expectations.
- Provide expert Data Engineering input to Sales, Client Services and Project Management, supporting commercial and delivery outcomes.
- Drive best practice across Data Engineering and Architecture, including data quality, testing, observability and documentation.
- Collaborate with platform and architecture colleagues to evolve and operate the data platform in line with the agreed roadmap.
Skills and Experience
- 5+ years experience managing high-performing Data and/or Analytics Engineering teams in a commercial environment.
- Hands‐on experience working in a modern cloud platform. AWS preferred, but experience of Azure and/or GCP is also beneficial.
- Strong technical experience as a Data or Analytics Engineer.
- Highly effective people management skills, with a history of supporting Engineers to grow and develop.
- Excellent organisational and project management skills, with experience balancing workloads against business demands across multiple projects in parallel.
- Good commercial awareness, conscious of cost optimisation and resource planning.
- Experience of working within delivery frameworks such as Agile or Lean.
- Strong skills in Project Management tools such as Jira or Azure DevOps.
- Demonstrable ability to articulate technical concepts clearly and concisely, including presenting to a blend of technical and non-technical audience.
- Excellent verbal and written English.
- The ability to support and potentially step in on bits of delivery where needed.
- Experience with modern data tools such as Snowflake, dbt, Airflow and Dagster would be advantageous.
adm-Indicia is proud to be an equal opportunity employer and is committed to creating a diverse environment. We recruit, employ, develop, compensate, and promote regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Should you need any reasonable adjustments made to this application process, please don’t hesitate to let us know.
Data Engineering Manager in West Bromwich employer: adm-Indicia
At Indicia, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. As a Data Engineering Manager in our Bristol office, you will lead a talented team while enjoying the benefits of hybrid working, professional development opportunities, and a commitment to diversity and inclusion. Join us to make a meaningful impact in delivering reliable data solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in West Bromwich
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Get your LinkedIn game on point! Make sure your profile is up-to-date and showcases your skills and experience. Engage with relevant content, join groups, and connect with industry leaders to increase your visibility.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering management. Think about how you would lead a team, manage projects, and ensure data quality – these are key topics that will likely come up!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our awesome team at StudySmarter.
We think you need these skills to ace Data Engineering Manager in West Bromwich
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Engineering Manager role. Highlight your experience in managing teams and delivering data solutions, and don’t forget to mention any relevant tools like AWS or Snowflake!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to showcase your passion for data engineering and how your skills align with our needs. Be sure to mention your people management experience and how you’ve driven best practices in previous roles.
Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of projects where you’ve used modern data tools and cloud platforms. This will help us understand your hands-on experience and how you can contribute to our team.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at adm-Indicia
✨Know Your Data Tools
Make sure you’re well-versed in the modern data tools mentioned in the job description, like Snowflake, dbt, and Airflow. Brush up on how these tools can enhance data pipelines and be ready to discuss your hands-on experience with them.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to lead a team effectively. Prepare examples of how you've supported engineers in their growth and development. Think about specific situations where your people management skills made a difference.
✨Understand Stakeholder Needs
Familiarise yourself with how to translate business requirements into actionable data solutions. Be ready to discuss past experiences where you partnered with stakeholders to deliver successful outcomes, highlighting your communication skills.
✨Demonstrate Project Management Prowess
Since the role involves balancing multiple projects, brush up on your project management skills. Be prepared to talk about your experience with tools like Jira or Azure DevOps and how you’ve managed timelines and resources effectively in previous roles.
